Localization of objects using passive RFID technology

Wegener, Marten; Froß, Daniel; Rößler, Marko; Heinkel, Ulrich; Adler, Matthias

doi:10.1109/ssd.2014.6808877

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…In formula (19), FR i represents the fingerprint of ith preference point. In formula (20), FRn 3 m dimension matrix represents fingerprint database.…”

Section: Ap Selectionmentioning

confidence: 99%

“…Here demonstrates some technologies used in indoor localization, such as optical tracking, 14 ZigBee, 15 infrared, 4,16 Bluetooth, 17 WLAN, 18 and RFID. 19 The requirement of optical tracking technology is visible between a tracking target and a detector. Although the ZigBee technology has high localization accuracy, it requires extensive hardware support and time–space cost.…”

Section: Related Workmentioning

confidence: 99%

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Indoor localization based on subarea division with fuzzy C-means

Tian

Fei

et al. 2016

International Journal of Distributed Sensor Networks

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One of the most significant researches in location-based services is the development of effective indoor localization. In this work, we propose a novel model of fingerprint localization, which divides location area into different subareas by fuzzy C-means and calculates location via relative distance fuzzy localization. In offline training stage, fuzzy C-means algorithm is used in localization model to divide localization area into different subareas and then to select the useful access points in subareas to reduce the dimensions of fingerprint. In online location stage, we use the nearest neighbor algorithm to select the subareas and to calculate the coordinate of the target point according to relative distance fuzzy localization algorithm, which converts traditional fingerprint of reference points into distance fingerprint and calculates the coordinate of the target point by fuzzy C-means algorithm. The noise and non-linear attenuation between the wireless signal and distance are taken into full consideration in relative distance fuzzy localization algorithm, which eliminates the random environmental noise. Experiments show that our proposed model is able to save the calculation time and improve the localization accuracy.

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“…In formula (19), FR i represents the fingerprint of ith preference point. In formula (20), FRn 3 m dimension matrix represents fingerprint database.…”

Section: Ap Selectionmentioning

confidence: 99%